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How do GANs work, why is training unstable, and why did diffusion overtake them?

GANs defined generative modeling for years, and interviewers want the minimax game, the failure modes (mode collapse, instability), and the precise reason diffusion displaced them for images while GANs still win on speed.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

GANs defined generative modeling for years, and interviewers want the minimax game, the failure modes (mode collapse, instability), and the precise reason diffusion displaced them for images while GANs still win on speed.

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